One important question that needs to be explored is how to assign data augmentation transformations on a scale from weak to strong. Intuitively, it is reasonable to measure a transformation by the degree that the transformation modifies the original image's statistics. Some have assigned image flip and shift transformation as weak augmentation, while strong augmentation includes a number of the image transformations included in the Python Image Library [1]}, mixup [2]}, and cutout [3]}.
